{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "7a82b67f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from yahoo_fin import stock_info as si\n",
    "import yfinance as yf\n",
    "import datetime\n",
    "from pandas.tseries.holiday import USFederalHolidayCalendar\n",
    "from pandas.tseries.offsets import CustomBusinessDay\n",
    "US_BUSINESS_DAY = CustomBusinessDay(calendar=USFederalHolidayCalendar())\n",
    "import numpy as np\n",
    "import pandas_ta as ta\n",
    "import pandas as pd\n",
    "from ta.volatility import BollingerBands\n",
    "from ta.volatility import KeltnerChannel\n",
    "import plotly.graph_objects as go\n",
    "from plotly.subplots import make_subplots\n",
    "import json\n",
    "import locale\n",
    "locale.setlocale(locale.LC_ALL, 'en_US')\n",
    "import pandas as pd\n",
    "from GoogleNews import GoogleNews\n",
    "googlenews = GoogleNews()\n",
    "googlenews = GoogleNews(lang='en', region='US')\n",
    "googlenews = GoogleNews(encode='utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "3ef285f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#  Symbol\n",
    "symbol = 'AAPL'\n",
    "market_symbol = '^NDX'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "e00e2d39",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_biz_days_delta_date(start_date_str, delta_days):\n",
    "    start_date = datetime.datetime.strptime(start_date_str, \"%Y-%m-%d\")\n",
    "    end_date = start_date + (delta_days * US_BUSINESS_DAY)\n",
    "    end_date_str = datetime.datetime.strftime(end_date, \"%Y-%m-%d\")\n",
    "    return end_date_str"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "29348ada",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_price_data(symbol, start_date, end_date):\n",
    "    # Download data\n",
    "    try:\n",
    "        df = si.get_data(symbol, start_date=start_date, end_date=end_date, index_as_date=False)\n",
    "        return df\n",
    "    except:\n",
    "        print('Error loading stock data for ' + symbol)\n",
    "        return None\n",
    "    \n",
    "today = datetime.datetime.today()\n",
    "today_str = today.strftime(\"%Y-%m-%d\")\n",
    "past_date_str = get_biz_days_delta_date(today_str, -251)\n",
    "df = load_price_data(symbol, past_date_str,today_str)  \n",
    "market_df = load_price_data(market_symbol, past_date_str,today_str) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "1788d68c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_market_graph(market_symbol, in_df):\n",
    "    df = in_df.copy()\n",
    "   \n",
    "    fig = make_subplots(rows=1, cols=1,\n",
    "                        subplot_titles=['Close'])\n",
    "\n",
    "    #  Plot close price\n",
    "    fig.add_trace(go.Line(x=df.index, y=df['close'], line=dict(color=\"blue\", width=1), name=\"Close\"), row=1, col=1)\n",
    "    \n",
    "    fig.update_layout(\n",
    "        title={'text': market_symbol, 'x': 0.5},\n",
    "        autosize=True,)\n",
    "    fig.update_yaxes(range=[0, 1000000000], secondary_y=True)\n",
    "    fig.update_yaxes(visible=False, secondary_y=True)  # hide range slider\n",
    "\n",
    "    #  Save output\n",
    "    fig.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "627eb778",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_stock_graph(symbol, in_df):\n",
    "    df = in_df.copy()\n",
    "    #  Calculate strategy indicators\n",
    "    df.ta.macd(close='close', fast=12, slow=26, signal=9, append=True)\n",
    "    df['RSI'] = ta.rsi(df['close'], length=14)\n",
    "    indicator_bb = BollingerBands(close=df['close'], window=20, window_dev=2)\n",
    "    df['BB_mid'] = indicator_bb.bollinger_mavg()\n",
    "    df['BB_high'] = indicator_bb.bollinger_hband()\n",
    "    df['BB_low'] = indicator_bb.bollinger_lband()\n",
    "    indicator_keltner = KeltnerChannel(high=df['high'], low=df['low'], close=df['close'], window=20)\n",
    "    df['Keltner_mid'] = indicator_keltner.keltner_channel_mband()\n",
    "    df['Keltner_high'] = indicator_keltner.keltner_channel_hband()\n",
    "    df['Keltner_low'] = indicator_keltner.keltner_channel_lband()\n",
    "   \n",
    "    fig = make_subplots(rows=5, cols=1,\n",
    "                        subplot_titles=['Close', 'MACD', 'RSI', 'Bollinger Bands', 'Keltner Channels',])\n",
    "\n",
    "    #  Plot close price\n",
    "    fig.add_trace(go.Line(x=df.index, y=df['close'], line=dict(color=\"blue\", width=1), name=\"Close\"), row=1, col=1)\n",
    "\n",
    "    # Plot MACD\n",
    "    fig.add_trace(go.Line(x=df.index, y=df['MACD_12_26_9'], line=dict(color=\"#99b3ff\", width=1), name=\"MACD\"), row=2,\n",
    "                  col=1)\n",
    "    fig.add_trace(go.Line(x=df.index, y=df['MACDs_12_26_9'], line=dict(color=\"#ebab34\", width=1), name=\"MACD\"), row=2,\n",
    "                  col=1)\n",
    "\n",
    "    # Plot RSI\n",
    "    fig.add_trace(go.Line(x=df.index, y=df['RSI'], line=dict(color=\"#99b3ff\", width=1), name=\"RSI\"), row=3, col=1)\n",
    "    fig.add_hline(y=30, line=dict(color=\"#ebab34\", width=1), row=3, col=1)\n",
    "    fig.add_hline(y=70, line=dict(color=\"#ebab34\", width=1), row=3, col=1)\n",
    "\n",
    "    # Plot Bollinger\n",
    "    fig.add_trace(go.Line(x=df.index, y=df['close'], line=dict(color=\"blue\", width=1), name=\"Close\"), row=4, col=1)\n",
    "    fig.add_trace(go.Line(x=df.index, y=df['BB_high'], line=dict(color=\"#ebab34\", width=1), name=\"BB High\"), row=4, col=1)\n",
    "    fig.add_trace(go.Line(x=df.index, y=df['BB_mid'], line=dict(color=\"#fac655\", width=1), name=\"BB Mid\"), row=4, col=1)\n",
    "    fig.add_trace(go.Line(x=df.index, y=df['BB_low'], line=dict(color=\"#ebab34\", width=1), name=\"BB Low\"), row=4, col=1)\n",
    "\n",
    "    # Plot Keltner\n",
    "    fig.add_trace(go.Line(x=df.index, y=df['close'], line=dict(color=\"blue\", width=1), name=\"Close\"), row=5, col=1)\n",
    "    fig.add_trace(go.Line(x=df.index, y=df['Keltner_high'], line=dict(color=\"#ebab34\", width=1), name=\"Keltner High\"),\n",
    "                  row=5, col=1)\n",
    "    fig.add_trace(go.Line(x=df.index, y=df['Keltner_mid'], line=dict(color=\"#fac655\", width=1), name=\"Keltner Mid\"),\n",
    "                  row=5, col=1)\n",
    "    fig.add_trace(go.Line(x=df.index, y=df['Keltner_low'], line=dict(color=\"#ebab34\", width=1), name=\"Keltner Low\"),\n",
    "                  row=5, col=1)\n",
    "\n",
    "    fig.update_layout(\n",
    "        title={'text': symbol, 'x': 0.5},\n",
    "        autosize=False, width= 800, height= 1600)\n",
    "    fig.update_yaxes(range=[0, 1000000000], secondary_y=True)\n",
    "    fig.update_yaxes(visible=False, secondary_y=True)  # hide range slider\n",
    "\n",
    "    #  Save output\n",
    "    fig.show()\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "e734273a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def retrieve_google_news(symbol, past_days):\n",
    "    googlenews = GoogleNews(period=f\"{past_days}d\")\n",
    "    googlenews.clear()\n",
    "    googlenews.search(symbol)\n",
    "    result = googlenews.result()\n",
    "    df = pd.DataFrame(result)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "ac76a779",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Apple Inc.\n",
      "Apple Inc. designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories worldwide. It also sells various related services. In addition, the company offers iPhone, a line of smartphones; Mac, a line of personal computers; iPad, a line of multi-purpose tablets; AirPods Max, an over-ear wireless headphone; and wearables, home, and accessories comprising AirPods, Apple TV, Apple Watch, Beats products, HomePod, and iPod touch. Further, it provides AppleCare support services; cloud services store services; and operates various platforms, including the App Store that allow customers to discover and download applications and digital content, such as books, music, video, games, and podcasts. Additionally, the company offers various services, such as Apple Arcade, a game subscription service; Apple Music, which offers users a curated listening experience with on-demand radio stations; Apple News+, a subscription news and magazine service; Apple TV+, which offers exclusive original content; Apple Card, a co-branded credit card; and Apple Pay, a cashless payment service, as well as licenses its intellectual property. The company serves consumers, and small and mid-sized businesses; and the education, enterprise, and government markets. It distributes third-party applications for its products through the App Store. The company also sells its products through its retail and online stores, and direct sales force; and third-party cellular network carriers, wholesalers, retailers, and resellers. Apple Inc. was incorporated in 1977 and is headquartered in Cupertino, California.\n",
      "Website:  https://www.apple.com\n",
      "Industry:  Consumer Electronics\n",
      "Current price:  170.09\n",
      "Total revenuee:  378,323,009,536\n",
      "Gross profits:  152,836,000,000\n",
      "Revenue growth:  0.112\n",
      "Earnings growth:  0.25\n",
      "Profit margins:  0.26579002\n",
      "Debt to equity:  170.714\n",
      "Return on equity:  1.45567\n",
      "Quick ratio:  0.875\n",
      "52-Week high:  182.94\n",
      "52-Week low:  122.25\n"
     ]
    }
   ],
   "source": [
    "yf_symbol = yf.Ticker(symbol)\n",
    "\n",
    "# Print company info\n",
    "company_info = yf_symbol.info\n",
    "#company_info_obj = json.loads(employee_string)\n",
    "print(company_info[\"longName\"])\n",
    "print(company_info[\"longBusinessSummary\"])\n",
    "print(\"Website: \",company_info[\"website\"])\n",
    "print(\"Industry: \",company_info[\"industry\"])\n",
    "print(\"Current price: \",company_info[\"currentPrice\"])\n",
    "print(\"Total revenuee: \",locale.format_string(\"%d\", company_info[\"totalRevenue\"], grouping=True))\n",
    "print(\"Gross profits: \",locale.format_string(\"%d\", company_info[\"grossProfits\"], grouping=True))\n",
    "print(\"Revenue growth: \",company_info[\"revenueGrowth\"])  \n",
    "print(\"Earnings growth: \",company_info[\"earningsGrowth\"])    \n",
    "print(\"Profit margins: \",company_info[\"profitMargins\"])\n",
    "print(\"Debt to equity: \",company_info[\"debtToEquity\"])     \n",
    "print(\"Return on equity: \",company_info[\"returnOnEquity\"])     \n",
    "print(\"Quick ratio: \",company_info[\"quickRatio\"])  \n",
    "print(\"52-Week high: \",company_info[\"fiftyTwoWeekHigh\"])      \n",
    "print(\"52-Week low: \",company_info[\"fiftyTwoWeekLow\"])       "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "2b457aef",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\dutch\\anaconda3\\envs\\tradesystem1\\lib\\site-packages\\plotly\\graph_objs\\_deprecations.py:378: DeprecationWarning:\n",
      "\n",
      "plotly.graph_objs.Line is deprecated.\n",
      "Please replace it with one of the following more specific types\n",
      "  - plotly.graph_objs.scatter.Line\n",
      "  - plotly.graph_objs.layout.shape.Line\n",
      "  - etc.\n",
      "\n",
      "\n"
     ]
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   "source": [
    "#  Plot stock graph and TAs\n",
    "plot_stock_graph(symbol, df)"
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   "execution_count": 177,
   "id": "7f76a65f",
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   ],
   "source": [
    "#  Plot market graph\n",
    "plot_market_graph(market_symbol, market_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "352333e1",
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     "text": [
      "-- Apple whistleblower brings spying claims to UK --\n",
      "Britain's information watchdog is investigating claims that Apple was able \n",
      "to access personal information on workers' phones after a privacy complaint \n",
      "was...\n",
      "\n",
      "\n",
      "-- A device unique to the company was discovered on the Apple website --\n",
      "Apple may soon release a new version of its proprietary USB Type-C power \n",
      "adapter with a notable improvement. A device unique to the company was \n",
      "discovered...\n",
      "\n",
      "\n",
      "-- Apple likely working on Dual USB-C Power Adapter, says report --\n",
      "Tech giant Apple is likely working on a dual-port USB-C wall charger and it \n",
      "may see a release in the near future as an analyst has claimed it will soon \n",
      "be...\n",
      "\n",
      "\n",
      "-- Https Ecommerce.apple.com Content B2b Static En Us Dfl-seg Contact.html? – ictsd.org --\n",
      "The Apple Business Essentials price and key information are summarized as \n",
      "follows: ($2). The cost for a single device, as well as 50GB of storage,...\n",
      "\n",
      "\n",
      "-- Apple Has Released A Report Detailing Just How Well Third-Party Apps Perform On The App Store --\n",
      "Apple claims that third party app across the company's devices perform \n",
      "better than its own products.\n",
      "\n",
      "\n",
      "-- Will Apple build its own blockchain? --\n",
      "Last week, I wrote about the issues facing Axie Infinity in the wake of a \n",
      "$625 million heist. This week my colleague Sarah wrote an interesting story \n",
      "on an...\n",
      "\n",
      "\n",
      "-- This Entertainment Company's 1-Year Return Routs Bitcoin, Tesla, Disney, Apple, Microsoft, AMD, Nvidia And Ford By ... --\n",
      "This Entertainment Company's 1-Year Return Routs Bitcoin, Tesla, Disney, \n",
      "Apple, Microsoft, AMD, Nvidia And Ford.\n",
      "\n",
      "\n",
      "-- Warren Buffett invests heavily in HP, 6 years after Apple --\n",
      "Berkshire Hathaway, Warren Buffett's $760 billion capitalization investment \n",
      "company, has just taken an 11.3% stake in HP. Historically skittish about \n",
      "tech...\n",
      "\n",
      "\n",
      "-- This Mind-Blowing ‘Pinch’ Trick Can Share Photos on Your iPhone and iPad --\n",
      "Most iOS users know how to share images from one iOS device to another – \n",
      "you can send images via Messages, drop them via AirDrop, or copy and paste \n",
      "them.\n",
      "\n",
      "\n",
      "-- Are there any problems with iPhone SE 2022 sales? Data from Apple's supply chain suggests that the company did not ... --\n",
      "Perhaps the latest data that the demand for the iPhone SE 2022 was lower \n",
      "than expected may be wrong. Are there any problems with iPhone SE 2022 \n",
      "sales?\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#  Retrieve Google News\n",
    "news_df = retrieve_google_news(symbol, 5)\n",
    "\n",
    "for index, row in news_df.iterrows():\n",
    "    print(f\"-- {row['title']} --\\n{row['desc']}\\n\\n\")"
   ]
  }
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